Moran's I Test Results for Spatial Clustering of Tick and Pathogen Species

Full results of Moran’s I tests investigating spatial clustering of tick and pathogen species, authored by Mebuki Ito. The dataset includes Moran’s I and p-values calculated with a distance decay parameter ranging from r=0.1 to r=20, with specific results for r=1 and r=10 highlighted in a referenced table. It was last updated on May 14, 2026.

Use Cases

• Assess spatial autocorrelation of tick species presence based on Moran's I statistics
• Evaluate clustering patterns of pathogen species using p-values from the test
• Compare spatial dependence across different distance decay parameters (r=0.1 to r=20)
• Validate spatial models of disease vectors using the provided statistical results

Strengths

• Results include Moran's I and p-values for a range of distance decay parameters (r=0.1 to r=20)
• Specific results for key parameters (r=1 and r=10) are explicitly noted in a referenced table

Limitations

• Row count is unknown, which may limit suitability assessment
• Column-level documentation is absent; field semantics must be inferred after download

Provenance

Source

Mebuki Ito

Collection Method

Calculated Moran’s I and p-values for spatial clustering analysis.

Freshness

Last updated 2026-05-14 17:50:48